Review on Situation Awareness Experiments in the Nuclear Power Plant

This paper discusses a SA data, which were collected using Situation Awareness Control Room Inventory (SACRI) method, and propose a review method that eliminates some outliers of the results based on the concepts of signal detection theory (Green and Swets, 1966). Thus the evaluation results of SA can be more realistic and meaningfull. The SA data collected through human factors ISV tests is reviewed, and the validity of the data is checked by the concept of SDT. The simple methods to exclude outliers in the data are suggested in this paper. The example shows more conservative result and less biased by outliers. To get reasonable and conservative SA indexes, more careful test designs and tests should be prepared and conducted. But due to the resource limitations (i.e., time, test participants, etc.) in most real design tests, a post-processing data analysis technique suggested in this paper can be used as one of effective SA score treatment methods.